Director leading design and management of assessment strategies for evaluation of talent at Fidelity Investments. Collaborating with partners to drive data - driven talent decisions and continuous improvement.
About the role
- Product Development Director overseeing strategy and implementation of healthcare data products for Elevance Health. Collaborating with partners to enhance product development and market differentiation.
Responsibilities
- Leads strategy and implementation of new products or product changes/enhancements for all Commercial segments and regions
- Work with and process large, complex datasets, both structured and unstructured, by handling tasks such as ETL/ELT, metadata extraction, dataset registry, cohort development, and data enrichment/merging to facilitate comprehensive analysis
- Collaborate with partners to analyze data usage and technology solutions, design and guide the effective use of products, and develop high-quality assets that enhance product development, enablement functions, and differentiate our offerings in the market
- Partner with product and engineering teams to package methods for operational use, and enhance products with advanced computational techniques and an expanded analytics tech stack, including LLM co-piloting, natural language prompting, and no/low-code integrations
- Monitors product performance and the competitive environment to ensure products meet competitive and legislative needs
- Adheres to product development policies and processes to guide product development
- Responsible for innovation and development of products for both new and existing markets
- Coordinates presentation, communication and implementation of all phases of product development
- Ensures all products are compliant with regulatory directives and state/federal laws and policies
- Serves as a product expert and a relationship manager to the core clients
- Collaborates with matrix partners across the company to deliver product solutions in a timely and effective manner
- Monitor competitive, regulatory, economic and other environment to gauge product impacts or opportunities
Requirements
- Requires a BA/BS degree and a minimum of 5 years of related experience
- Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems, or a related field and three (3) years of experience strongly preferred
- Cross training in data engineering and healthcare data analytics strongly preferred
- Three (3) years of experience with data sandboxes or Trusted Research Environments (TREs) strongly preferred
- Strong skills in Python and R; familiarity with Spark, SQL, and distributed computing environments strongly preferred
- Demonstrated ability to codify analytic methods into reproducible templates (e.g., Jupyter, R Markdown) strongly preferred
- Ability to integrate and analyze multimodal health datasets strongly preferred
- Strong understanding and experience with cloud environments and cloud computing platforms preferred
- Proficiency in building and managing data platforms and products strongly preferred
- Familiarity with product management principles, advanced analytics, algorithm development, and machine learning capabilities preferred
- Excellent written, oral, presentation and interpersonal communication skills with the proven ability to negotiate expectations between multiple parties strongly preferred.
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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